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bmp/bmp_115_09: [de] 14. Monatsgehalt Brutto Vorjahr (Euro)
| en | de | |
|---|---|---|
| -1 | [-1] No answer / don’t know | [-1] No answer / don’t know |
| -2 | [-2] Does not apply | [-2] Does not apply |
| -3 | [-3] Implausible value | [-3] Implausible value |
| -4 | [-4] Inadmissable multiple response | [-4] Inadmissable multiple response |
| -5 | [-5] Not included in this version of the questionnaire | [-5] Not included in this version of the questionnaire |
| -6 | [-6] Version of questionnaire with modified filtering | [-6] Version of questionnaire with modified filtering |
| -7 | [-7] Only available in less restricted edition | [-7] Only available in less restricted edition |
| -8 | [-8] Question not part of the survey program this year | [-8] Question not part of the survey program this year |
English label: [de] 14. Monatsgehalt Brutto Vorjahr (Euro)
German label: 14. Monatsgehalt Brutto Vorjahr (Euro)
bmp – Data from individual questionnaires 2022
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2022
Study: SOEP-Core
- Did you receive any of the following bonuses or extra pay from your employer last year (in 2021)? If yes, please specify the gross amount. - 14th month salary (please specify): … euros
-
Did you receive one or more of the following bonuses from your employer last year (
)? If yes, please specify the gross amount. - [14th month salary]: … euros - Did you receive any of the following bonuses or extra pay from your employer last year (in 2021)? If yes, please specify the gross amount. - 14th month salary (please specify): … euros
- Did you receive any of the following bonuses or extra pay from your employer last year (in 2021)? If yes, please specify the gross amount. - 14th month salary (please specify): … euros
| Measure | Value |
|---|---|
| Min. | 100.0 |
| 1st Qu. | 2500.0 |
| Median | 3762.0 |
| Mean | 4294.997692307693 |
| 3rd Qu. | 5500.0 |
| Max. | 14000.0 |
| valid | 182 |
| invalid | 28522 |
Codes of related variables with the same concept
This table provides you with an overview of label definitions across related variables to identify changes over time in longitudinal variables. The first number indicates the value code, the second number (in brackets) represents the frequency in the data. Please note that labels are simplified and values with frequency = 0 are hidden.